Tensor networks for complex quantum systems

R Orús - Nature Reviews Physics, 2019 - nature.com
Originally developed in the context of condensed-matter physics and based on
renormalization group ideas, tensor networks have been revived thanks to quantum …

Nonequilibrium boundary-driven quantum systems: Models, methods, and properties

GT Landi, D Poletti, G Schaller - Reviews of Modern Physics, 2022 - APS
Recent years have seen tremendous progress in the theoretical understanding of quantum
systems driven dissipatively by coupling to different baths at their edges. This was possible …

Transport in Out-of-Equilibrium Chains: Exact Profiles of Charges and Currents

B Bertini, M Collura, J De Nardis, M Fagotti - Physical review letters, 2016 - APS
We consider the nonequilibrium time evolution of piecewise homogeneous states in the XXZ
spin-1/2 chain, a paradigmatic example of an interacting integrable model. The initial state …

Neural-network approach to dissipative quantum many-body dynamics

MJ Hartmann, G Carleo - Physical review letters, 2019 - APS
In experimentally realistic situations, quantum systems are never perfectly isolated and the
coupling to their environment needs to be taken into account. Often, the effect of the …

Variational quantum Monte Carlo method with a neural-network ansatz for open quantum systems

A Nagy, V Savona - Physical review letters, 2019 - APS
The possibility to simulate the properties of many-body open quantum systems with a large
number of degrees of freedom (dof) is the premise to the solution of several outstanding …

Simulation methods for open quantum many-body systems

H Weimer, A Kshetrimayum, R Orús - Reviews of Modern Physics, 2021 - APS
Coupling a quantum many-body system to an external environment dramatically changes its
dynamics and offers novel possibilities not found in closed systems. Of special interest are …

Constructing neural stationary states for open quantum many-body systems

N Yoshioka, R Hamazaki - Physical Review B, 2019 - APS
We propose a scheme based on the neural-network quantum states to simulate the
stationary states of open quantum many-body systems. Using the high expressive power of …

Variational neural-network ansatz for steady states in open quantum systems

F Vicentini, A Biella, N Regnault, C Ciuti - Physical review letters, 2019 - APS
We present a general variational approach to determine the steady state of open quantum
lattice systems via a neural-network approach. The steady-state density matrix of the lattice …

Review on novel methods for lattice gauge theories

MC Banuls, K Cichy - Reports on Progress in Physics, 2020 - iopscience.iop.org
Formulating gauge theories on a lattice offers a genuinely non-perturbative way of studying
quantum field theories, and has led to impressive achievements. In particular, it significantly …

Lattice gauge theory simulations in the quantum information era

M Dalmonte, S Montangero - Contemporary Physics, 2016 - Taylor & Francis
The many-body problem is ubiquitous in the theoretical description of physical phenomena,
ranging from the behaviour of elementary particles to the physics of electrons in solids. Most …